mwirtz946 Goto Github PK

dsc-pipelines-lab-v2-1

dsc-pipelines-v2-1

dsc-postgrad_project-repository

dsc-random-forests

dsc-regression-cart-trees-codealong

dsc-regression-cart-trees-lab

dsc-ridge-and-lasso-regression

dsc-ridge-and-lasso-regression-lab

dsc-roc-curves-and-auc

dsc-roc-curves-and-auc-lab

dsc-rules-for-derivatives

dsc-rules-for-derivatives-lab

dsc-scalars-vectors-matrices-tensors-codealong

dsc-the-gradient-in-gradient-descent

dsc-the-kernel-trick

dsc-tree-ensembles-random-forests-lab

dsc-tuning-decision-trees

dsc-tuning-decision-trees-lab

dsc-tuning-regression-trees-lab

dsc-understanding-self

dsc-visualizing-confusion-matrices-lab

dsc-xgboost

dsc-xgboost-lab

edf_donation_analysis

This project leverages NLP to lower the advertising and promotions budget of the Environmental Defense Fund (EDF) by pinpointing the time of year and areas of the country that are most likely to donate in the highest numbers

esg_materiality_analysis

This project is currently in motion. It seeks to run fundamental analysis in conjunction with NLP on small-cap companies to deliver an optimally resilient list of companies to buy long.

kings_county_housing

The purpose of this project is to create a model that accurately predicts the prices of houses in Kings County, Washington.

movie_content_analysis

This project finds the most profitable elements in movies. These profitable elements are then formatted as recommendations for a new movie studio.

movie_profitability_metrics

This project uses simple data analysis techniques to gain insights into the metrics that correlate to movie profitability. This analysis is done in order to advise a new studio on how to make its business optimally profitable.

newsworthy_events

This project leverages NLP to classify tweets into events and non-events. The project recommends usage by news outlets to quickly filter for possible story leads

startup_success_classifier

This project identifies companies that will be considered successful based on information sourced from crunchbase. The results are recommended for use by potential VC firms as a filter for potential investments